Development of software with AI capabilities implies building new software or evolving existing software to output AI analytics results to users (e.g., demand prediction) and/or trigger specific actions based on them (e.g., blocking fraudulent transactions). Supported by AI, an application can automate business processes, personalize service delivery and drive business-specific insights. According to Deloitte, 90% of seasoned AI adopters say that “AI is very or critically important to their business success today”.
Use Cases for Software with AI Capabilities
Chatbots.
Search engines.
Automated document generation.
Optical character recognition engine for data extraction from paper documents.
Predictive maintenance.
Demand and throughput forecasting.
Process quality prediction.
Sentiment analysis.
Customer behavior prediction.
Sales forecasting.
Counterparty risk analytics.
Potential damage prediction.
Fraud detection.
Demand forecasting.
Lead time forecasting.
Inventory optimization.
Customer segmentation.
Recommendation engines.